In this episode, Mariya Sha, an experienced coder and the creator of Python Simplified, delves into AI's transformative impact on coding careers. They discuss the synergy between AI and traditional coding, exploring the ethical concerns and transparency issues that arise. Mariya expresses her skepticism about job security while highlighting AI's potential to democratize coding for non-coders. The conversation also touches on the implications of open-source versus closed-source AI, addressing the challenges creators face in this rapidly changing landscape.
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insights INSIGHT
AI Coding Challenges
AI coding models face challenges with the dynamic nature of coding and security vulnerabilities.
Frequent updates and similar code outputs pose risks.
insights INSIGHT
Personalized AI Vision
Mariya Sha envisions personalized AI models trained on individual values and experiences.
These proprietary AIs could enhance individuality, contrasting with using generic models.
insights INSIGHT
Closed Source AI Concerns
Mariya Sha expresses concern over closed-source AI models lacking transparency in training data.
This deviates from the established scientific practice of open, peer-reviewed models.
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Episode 12: Are coding jobs at risk with the rise of AI? Matt Wolfe (https://x.com/mreflow) and Nathan Lands (https://x.com/NathanLands) dive into this compelling topic with guest Mariya Sha (https://x.com/mariyasha888), a seasoned coder and the creator of the popular YouTube channel Python Simplified.
This episode delves into the contradictions and synergies between artificial intelligence and coding, featuring Mariya Sha, who started coding at a young age and later found success with her YouTube channel that simplifies Python programming. Together, they explore the changing landscape of coding due to AI advancements, ethical concerns, and the future of AI-integrated coding environments. Mariya shares her skepticism and hopes for the future, particularly AI's potential impact on coding jobs and the importance of a personalized touch in YouTube content creation.
Check out The Next Wave YouTube Channel if you want to see Matt and Nathan on screen: https://lnk.to/thenextwavepd
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Show Notes:
(00:00) Confusion about AI models and documentation use.
(05:35) Exciting potential for non-coders to code.
(08:36) AI is better at handling fast change.
(09:49) Engineering and coding solve problems, with AI help.
(14:51) Future AI control raises transparency and ethical concerns.
(17:03) Debate over open source AI vs national security.
(19:33) Concerns about LLM capabilities and potential surveillance.
(25:20) Janssen's free supercomputer and transparency questioned.
(26:24) Lack of plan B led to GPT domination.
(32:02) AI model training ethics and inspiration discussion.
(35:04) Sharing is important, copyright laws are nitpicky.
(36:43) Startup pivoted towards copyright, government unwilling to change.
The Next Wave is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Production by Darren Clarke // Editing by Ezra Bakker Trupiano
The Next Wave - AI and The Future of Technology